Triple

T17642720
Position Surface form Disambiguated ID Type / Status
Subject Antonio de Oquendo E429276 entity
Predicate hasSurname P18 FINISHED
Object de Oquendo NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: de Oquendo | Statement: [Antonio de Oquendo, hasSurname, de Oquendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Oquendo
Context triple: [Antonio de Oquendo, hasSurname, de Oquendo]
  • A. de Oquendo chosen
    de Oquendo is a Spanish surname historically associated with notable naval figures and military leaders from Spain’s maritime past.
  • B. Ojeda Ríos
    Ojeda Ríos is the surname of Filiberto Ojeda Ríos, a prominent Puerto Rican nationalist and leader of the pro-independence group Los Macheteros.
  • C. de Valdés
    de Valdés is a Spanish surname historically associated with notable figures in politics, religion, and the arts.
  • D. Guillermo Amoedo
    Guillermo Amoedo is a Uruguayan screenwriter and filmmaker known for his collaborations with director Eli Roth on horror films.
  • E. Óscar Jaenada
    Óscar Jaenada is a Spanish actor known for his versatile film and television roles, including appearances in international productions such as the action film "The Losers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.